#101 H&M's Data Mesh Journey So Far Including Finding Reusability in Interesting Places - Interview w/ Erik Herou
#101 H&M's Data Mesh Journey So Far Including Finding Reusability in Interesting Places - Interview w/ Erik Herou

#101 H&M's Data Mesh Journey So Far Including Finding Reusability in Interesting Places - Interview w/ Erik Herou

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78 min
Success & Inspiration
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https://www.patreon.com/datameshradio (Data Mesh Radio Patreon) - get access to interviews well before they are released Episode list and links to all available episode transcripts (most interviews from #32 on) https://docs.google.com/spreadsheets/d/1ZmCIinVgIm0xjIVFpL9jMtCiOlBQ7LbvLmtmb0FKcQc/edit?usp=sharing (here) Provided as a free resource by DataStax https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio (AstraDB); George Trujillo contact info; email (george.trujillo@datastax.com) and https://www.linkedin.com/in/georgetrujillo/ (LinkedIn) Transcript for this episode (https://docs.google.com/document/d/1kLgkxRsiFr1G5BDbFcZaVMJhb3A_UcGc0N5n6vo7fCk/edit?usp=sharing (link)) provided by Starburst. See their Data Mesh Summit recordings https://www.starburst.io/learn/events-webinars/datanova-on-demand/?datameshradio (here) and their great data mesh resource center https://www.starburst.io/info/distributed-data-mesh-resource-center/?datameshradio (here) In this episode, Scott interviewed Erik Herou, Lead Engineer of the Data Platform at H&M. To be clear, Erik was only representing his own views and perspectives. A few key thoughts/takeaways from Eric's point of view: Data mesh can work well with a product-centric organization strategy as both look to put ownership and product thinking in the hands of the domains. To develop a good data/enablement platform for data mesh, look to work with a number of different types of teams. That way, you can see the persistent/reusable patterns and capabilities to find ways to reduce friction for future data product development/deployment. H&M had an existing cloud data lake that was/is working relatively well for existing use cases. But the team knew it likely wouldn't be able to handle where they wanted to go with many more teams producing data products of much higher quality and potentially sophistication. When implementing data mesh - or any data initiative really - it is easy to fall into the trap of doing things the same way you did before

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#101 H&M's Data Mesh Journey So Far Including Finding Reusability in Interesting Places - Interview w/ Erik Herou - Listen Free | WowFM